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期刊论文:
Lv, T.L., Yang, G.,Zhang, YD., Yang J, Chen Y(*), Shu, H., Luo, L.M.. (2019)Vessel segmentation using centerline constrained level-set method. Multimedia Tools and Applications. In press. https://doi.org/10.1007/s11042-018-7087-x.
Zhang, S.B.(#), Yang, G(#), Tang, L.J.(#), Lv, Q., Li, J., Xu, Y., Zhu, X.M., Li, P., Shao, P.F.(*), Wang, Z.,(2018) Application of a functional three-dimensional perfusion model in laparoscopic partial nephrectomy with precise segmental renal artery clamping. Urology, 125:98-103.
Cao, Q., Broersen, A., Graaf, M. A. D., Kitslaar, P. H., Yang, G., Scholte, A. J., Lelieveldt, B.P.F., Reiber, J.H.C., Dijkstra, J. (*).(2017)Automatic identification of coronary tree anatomy in coronary computed tomography angiography. The International Journal of Cardiovascular Imaging,2017, 33(11), 1809-1819.
Yang, G.*, Chen, Y., Sun, Q., Ning, X., Shu, H., Coatrieux, J. L. (2016)Fully Automatic Coronary Calcification Detection in Non-Contrast CT Images. Medical Physics, 43(5):2174-2186.
Wolterink, J. M.(*), Leiner, T., De Vos, B. D., Coatrieux, JL., Kelm, B. M., Kondo, S., Salgado RA. Shahzad R., Shu H., Snoeren M. Takx RA. Van Vliet LJ. Van Walsum T., Willems TP., Yang G., Zheng YF., Viergever MA., Išgum I..(2016)An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework. Medical Physics, 2016, 43(5): 2361-2373.
Liu, W.Y.(#), Zhu, Y.S. (#), Tang, L.J., Zhu, X.M., Xu, Y. (*), Yang, G.(*) .(2016)Effect of various environments and computed tomography scanning parameters on renal volume measurements in vitro: A phantom study. Experimental and Therapeutic Medicine, 12: 753-758.
Yang, G.*, Lalande, V., Chen, L., Azzabou, N., Larcher, T., Certaines, J.D., Shu, H., Coatrieux, J. L. (2015) MRI texture analysis of GRMD dogs using orthogonal moments: A preliminary study. IRBM 36:213-219
Li, B., Yang, G., Coatrieux, J. L, Li, B., Shu, H*. (2015). 3D nonrigid medical image registration using a new information theoretic measure. Phys. Med. Biol., 60: 8767-90.
Yu, G*, Liang, Y., Yang, G., Shu, H., Li, B., Yin, Y., Li, D. (2015) Accelerated gradient-based free form deformable registration for online adaptive radiotherapy. Phys. Med. Biol. 60: 2765-83.
Zhu, X.#, Zhu, Y.#, Xu, H., Wan, Y., Choo, K. S., Yang, G., Tang, L.*, Xu, Y.* (2014). An individualized contrast material injection protocol with respect to patient-related factors for dual-source CT coronary angiography.Clinical radiology,69(2), e86-e92.
Zhu, X.#, Shi, Z.#, Zhu, Y., Liu, W., Yang, G., Yu, T., Tang, L.*, Xu, Y.(2014). Individually adapted tube current selection and contrast medium injection protocol of coronary CT angiography based on test bolus parameters: a feasibility study.Acta Radiologica, 0284185114536156.
粟华、杨冠羽、胡轶宁、舒华忠*,基于相位的C-V模型乳腺超声图像分割方法,东南大学学报(自然科学版), 43(3), pp494-497, 2013年 5月
Zhu, X.#, Zhu, Y.#, Xu, H., Yang, G., Tang, L*., Xu, Y.* (2013). Dual-source CT coronary angiography involving injection protocol with iodine load tailored to patient body weight and body mass index: estimation of optimal contrast material dose.Acta Radiologica,54(2), 149-155.
Xu, Y.#, Shao, P.#, Zhu, X., Lv, Q., Liu, W., Xu, H., Zhu, Y., Yang, G., Tang, L.*, Yin, C.*. (2013). Three-dimensional renal CT angiography for guiding segmental renal artery clamping during laparoscopic partial nephrectomy.Clinical radiology,68(11), e609-e616.
Chen, Y.*, Yang, Z., Hu, Y., Yang, G., Zhu, Y., Li, Y. Toumoulin, C. (2012). Thoracic low-dose CT image processing using an artifact suppressed large-scale nonlocal means.Physics in medicine and biology,57(9), 2667.
Wu, J.*, Wang, L., Yang, G., Senhadji, L., Luo, L., Shu, H. (2012). Sliding conjugate symmetric sequency-ordered complex Hadamard transform: fast algorithm and applications.Circuits and Systems I: Regular Papers, IEEE Transactions on,59(6), 1321-1334.
Yang, G.*, Kitslaar, P., Frenay, M., Broersen, A., Boogers, M. J., Bax, J. J., Reiber, J. H. C., Dijkstra, J. (2012). Automatic centerline extraction of coronary arteries in coronary computed tomographic angiography.The international journal of cardiovascular imaging,28(4), 921-933.
Yang, G.*, Zhou, J., Boulmier, D., Garcia, M. P., Luo, L., Toumoulin, C. (2010). Characterization of 3-D coronary tree motion from MSCT angiography.IEEE Transactions on Information Technology in Biomedicine, 14(1), 101-106.
会议论文:
He, Y.T., Yang, G. (*), Chen, Y., Kong, Y.Y., Wu, J.S., Tang L.J., Zhu, X.M., Dillenseger, J-L., Shao, P.F., Zhang, S.B., Shu, H.Z., Coatrieux J-L, Li, S., DPA-DenseBiasNet: Semi-supervised 3D Fine Renal Artery Segmentation with Dense Biased Network and Deep Priori Anatomy, MICCAI 2019, Shenzhen, 2019.10.13-17.
Lu, Z.W., Yang, G. (*), Hua, T.C., Hu, L.Y., Kong, Y.Y., Tang L.J., Zhu, X.M., Dillenseger, J-L., Shu, H.Z., Coatrieux J-L. Unsupervised Three-dimensional Image Registration using a Cycle Convolutional Neural Network., IEEE International Conference on Image Processing, ICIP2019, Taibei, 2019.9.22-25.
Pan, T., Yang, G. (*), Wang, C.X., Zhou, Z.W., Kong, Y.Y., Tang L.J., Zhu, X.M., Dillenseger, J-L., Shu, H.Z., Coatrieux J-L. A Multi-task Convolutional Neural Network for Renal Tumor Segmentation and Classification Using Multi-phasic CT Images, IEEE International Conference on Image Processing, ICIP2019, Taibei, 2019.9.22-25.
Zhao, X.R., Yang, G. (*), Chen, Y., Lv, T.L., Sun, W.Y., Shu, H., Haigron, P.. Segmentation of aorta dissection CT images using convolution neural networks. In 33rd International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS 2019), Jun. 18-21, 2019, Rennes.
Zhang C., Yang, G. (*),Shu, H., Liu, Y.N., Wen, Y.G., Zhang, Q., Dillenseger, J-L.. Segmentation of uterus and uterine fibroids in MR images using convolutional neural networks for HIFU surgery planning. In 33rd International Congress and Exhibition of Computer Assisted Radiology and Surgery (CARS 2019), Jun. 18-21, 2019, Rennes.
Yang,G.(*), Li, G.Q., Pan, T., Kong, Y.Y., Wu, J.S., Shu, H., Luo, L.M., Dillenseger, J.L., Coatrieux, J.L., Tang, L.J., Zhu, X.M.. Automatic Segmentation of Kidney and Renal Tumor in CT Images Based on 3D Fully Convolutional Neural Network with Pyramid Pooling Module. In 24th International Conference on Pattern Recognition (ICPR), 2018.8.20-2018.8.24.
Yang, G.*, Chen, Y., Tang, L., Shu, H., Toumoulin, C. (2014, April). Automatic left ventricle segmentation based on multiatlas registration in 4D CT images. InBiomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on(pp. 413-416). IEEE.
Yang, G.*, Chen, Y., Sun, Q., Ning, X., Shu, H., Coatrieux, J. L. Automatic Coronary Calcification Detection in Non-Contrast CT Images. Submitted to Medical Image Analysis.
Yang, G.*, Zhao, X., Tang, L., Shu, H., Toumoulin, C. (2014, August). Quantitative measurement of coronary artery stenosis in CCTA images using a 2D parametric intensity model. InEngineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE(pp. 1071-1074). IEEE.
Yang, G.*, Gu, J., Chen, Y., Liu, W., Tang, L., Shu, H., Toumoulin, C. (2014, August). Automatic kidney segmentation in CT images based on multi-atlas image registration. InEngineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE(pp. 5538-5541). IEEE.
Yang, G.*, Chen, Y., Sun, Q., Ning, X., Shu, H., Coatrieux, J. L. Fully Automatic Coronary Calcification Detection in Non-Contrast CT Images. Proceedings of Automatic Coronary Calcium Scoring Challenge on MICCAI2014, 2014/9/14-2014/9/18,
Li, B., Yang, G., Shu, H.*, Coatrieux, J. L. (2014, August). A New Divergence Measure Based on Arimoto Entropy for Medical Image Registration. InPattern Recognition (ICPR), 2014 22nd International Conference on(pp. 3197-3202). IEEE.
Chen, Y.*, Cao, Q., Yang, G., Shu, H., Luo, L., Toumoulin, C., Coatrieux, J. L. (2014, April). Centerline constrained minimal path propagation for vessel extraction. InBiomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on(pp. 794-797). IEEE.
Yang, G.*, Broersen, A., Petr, R., Kitslaar, P., de Graaf, M. A., Bax, J. J., Reiber, J.H.C.Dijkstra, J. (2011, September). Automatic coronary artery tree labeling in coronary computed tomographic angiography datasets. InComputing in Cardiology, 2011(pp. 109-112). IEEE.